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A Study on the Seasonal Effects of the Tourism Demand Forecasting Models
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 Title & Authors
A Study on the Seasonal Effects of the Tourism Demand Forecasting Models
Kim, Sahm; Lee, Ju-Hyoung;
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In this paper, we compared the performance of the several time series models for tourism demand forecasting. We showed that seasonal effects in the data(Japan, China, USA, and Philippines) exist in the tourism data and the forecasting accuracies are compared by the RMSE criterion.
Seasonal ARIMA model;VAR model;ECM model;tourism demand;
 Cited by
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Journal of the Korean Data and Information Science Society, 2016. vol.27. 3, pp.725-732 crossref(new window)
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